The association between smartphone addiction and dry eye disease: A cross-sectional study
Ayman Mohammed Baabdullah; Abdulmalik Ghassan Abumohssin; Yara Aedh Alqahtani; Ismail Ahmed Nemri; Dania Abdulelah Sabbahi; Nizar Mohammed Alhibshi · 2019 · Journal of Nature and Science of Medicine
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Background: The use of smartphones has increased exponentially. Excessive usage of smartphones has been shown to have a negative impact on ocular health. This study aimed to evaluate the relationship between smartphone addiction and dry eye disease (DED) and determine the risk factors of DED in participants associated with smartphone addiction. Materials and Methods: This cross-sectional study was conducted in May 2017. Participants were selected from the Faculty of Medicine at King Abdulaziz University in Jeddah, Saudi Arabia. Stratified random sampling technique was used to recruit participa
Abstract by Ayman Mohammed Baabdullah; Abdulmalik Ghassan Abumohssin; Yara Aedh Alqahtani; Ismail Ahmed Nemri; Dania Abdulelah Sabbahi; Nizar Mohammed Alhibshi, Journal of Nature and Science of Medicine (2019) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
A Randomized Trial of Intraarterial Treatment for Acute Ischemic Stroke
Negative / Null Result ReportDuodenal Infusion of Donor Feces for Recurrent Clostridium difficile
Negative / Null Result ReportStenting versus Endarterectomy for Treatment of Carotid-Artery Stenosis
Negative / Null Result ReportEffects of Combination Lipid Therapy in Type 2 Diabetes Mellitus
Replication FailureA Randomized Trial of Bevacizumab for Newly Diagnosed Glioblastoma
Negative / Null Result ReportSpironolactone for Heart Failure with Preserved Ejection Fraction
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: DOAJ · DOI 10.4103/jnsm.jnsm_51_18
